<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Week 7 HW: Genetic Circuits Part II :: 2026a-grace-hussey</title><link>https://pages.htgaa.org/2026a/grace-hussey/homework/week-07-hw-genetic-circuits-part-ii/index.html</link><description>Intracellular Artificial Neural Networks (IANNs) What advantages do IANNs have over traditional genetic circuits, whose input/output behaviors are Boolean functions? Variables input into Boolean functions are binary (either ON or OFF), whereas the variables input into IANNs can be continuous. Additionally, IANNs can input multiple variables at a time while Boolean functions (like a two-layer IANN) only integrate two variables.</description><generator>Hugo</generator><language>en</language><atom:link href="https://pages.htgaa.org/2026a/grace-hussey/homework/week-07-hw-genetic-circuits-part-ii/index.xml" rel="self" type="application/rss+xml"/></channel></rss>